Forecasting in Manufacturing: How to do it
Learn about the importance of manufacturing forecasting, different manufacturing demand forecasting techniques, and forecasting software for manufacturing.
Category: Revenue forecasting
Consumption Forecasting: How to do it
For SaaS companies, consumption-based pricing or usage-based pricing has emerged as a strategy to align costs with consumption, providing transparency…
How to Forecast Revenue in Excel
If you’re aiming to scale your business or improve the accuracy of your revenue forecasts, understanding how to create a…
A Complete Guide to Revenue Forecasting
Revenue forecasting is a cornerstone in shaping a company's future outlook and guiding essential business decisions. It influences both short-term and long-term goals, helping prepare the organization for the future. A well-structured forecast is pivotal for budgeting various aspects such as new hires, marketing campaigns, facilities, equipment, and research and development (R&D).
Dynamic Forecasting for Professional Services Firms
Professional services firms, spanning industries such as consulting, IT services, and engineering, face unique forecasting challenges due to the variable nature of their projects. Unlike traditional product-based businesses, revenue in professional services depends on billable hours, resource availability, and project completion timelines.
Best Practices for Consumption Forecasting
Consumption-based revenue models introduce a layer of complexity that traditional forecasting methods struggle to handle. Unlike fixed revenue contracts, consumption revenue is dynamic—fluctuating based on customer behavior, seasonality, product adoption, and a host of other variables. To get ahead, businesses need to rethink their approach to forecasting.
Deal Modeling of Consumption for GTM and Account Planning
As businesses shift to consumption-based go-to-market strategies, forecasting revenue has become increasingly complex. Whether it’s API calls, data storage, or platform usage, traditional forecasting methods designed for fixed or subscription pricing models no longer suffice. Organizations need a more dynamic approach to predicting revenue growth—one that accounts for real-time customer usage and adapts to changing consumption patterns.
Salesforce Consumption Forecasting: Everything You Need to Know
Revenue teams have long relied on pipeline data to predict revenue, but as more businesses move toward consumption-based pricing, traditional forecasting methods simply don’t cut it anymore. Enter Salesforce’s Consumption Forecasting, a new feature designed to help businesses track and predict revenue based on actual product usage. This is a critical tool for RevOps teams who are managing these complex, dynamic models. But while Salesforce has made a big leap forward, there’s still a gap to be filled when it comes to making those forecasts actionable and aligned with broader revenue goals.
Dynamic Forecasting Between CRM and FP&A Applications
Sales forecasting has become a cornerstone for businesses aiming to align operational strategies with financial realities. Accurate forecasting empowers organizations to allocate resources effectively, manage cash flow, and make informed decisions. However, the process becomes far more challenging when companies operate within complex revenue models—from usage-based products to long-term subscriptions and project-based engagements.